Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
551-01-008 / 551-01-008 ISMRM Abstract

Characterizing Cardiac Dynamics of Arrhythmic Patients with 3D+t CMR-MOTUS and Dynamic Mode Decomposition

Accepted
Thomas E Olausson 1, Maarten Terpstra1, Casper Beijst2, Rizwan Ahmad3, Cornelis A van den Berg4, Alessandro A Sbrizzi4
1Computational Imaging Group for MRI Therapy & Diagnostics, Center of Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands
2Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands
3Department of Biomedical Engineering, The Ohio State University, Columbus, United States of America
4Computational Imaging Group for MRI Therapy & Diagnostics, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands
Presenting Author: Thomas E Olausson

Synopsis

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References

1. F. Contijoch et al., ‘Beat to beat volumetric analysis in arrhythmia using real time CMR’, J. Cardiovasc. Magn. Reson., vol. 17, p. O37, Feb. 2015, doi: 10.1186/1532-429X-17-S1-O37. [doi]
2. T. Olausson, ‘Free-Running Time-Resolved 3D+time Cardiovascular MRI at 40 Hz in a One Minute Scan using Cartesian Sampling and CMR-MOTUS’, presented at the ISMRM 2025, 2025. [Online]. Available: https://archive.ismrm.org/2025/0324.html
3. P. J. Schmid, ‘Dynamic mode decomposition of numerical and experimental data’, J. Fluid Mech., vol. 656, pp. 5–28, Aug. 2010, doi: 10.1017/S0022112010001217. [doi]
4. M. Joshi, A. Pruitt, C. Chen, Y. Liu, and R. Ahmad, ‘Technical Report (v1.0)--Pseudo-random Cartesian Sampling for Dynamic MRI’, June 07, 2022, arXiv: arXiv:2206.03630. Accessed: Sept. 19, 2023. [Online]. Available: http://arxiv.org/abs/2206.03630
5. V. Vishnevskiy, T. Gass, G. Szekely, C. Tanner, and O. Goksel, ‘Isotropic Total Variation Regularization of Displacements in Parametric Image Registration’, IEEE Trans. Med. Imaging, vol. 36, no. 2, pp. 385–395, Feb. 2017, doi: 10.1109/TMI.2016.2610583. [doi]

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